Giulia Pasquale

Italian Institute of Technology — Italy

Computer Science · Physical Sciences

9h-index285citations58works0.52yr avg
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Research Topics

Domain Adaptation and Few-Shot Learning(16), Advanced Neural Network Applications(15), Multimodal Machine Learning Applications(10), Advanced Image and Video Retrieval Techniques(8), Human Pose and Action Recognition(8)

Publications58 total

HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning
2025
PCHands: PCA-Based Hand Pose Synergy Representation on Manipulators with $N$-DoF
2025Open Access
HannesImitation: Grasping with the Hannes Prosthetic Hand via Imitation Learning
arXiv (Cornell University)·2025Open Access
Continuous Wrist Control on the Hannes Prosthesis: A Vision-Based Shared Autonomy Framework
2025· 3 citedOpen Access
The impact of Compositionality in Zero-shot Multi-label action recognition for Object-based tasks
2024
ConCon-Chi: Concept-Context Chimera Benchmark for Personalized Vision-Language Tasks
2024· 1 cited
The impact of Compositionality in Zero-shot Multi-label action recognition for Object-based tasks
arXiv (Cornell University)·2024Open Access
Electrical resistivity on tree trunks
2024Open Access
REAL dataset attached to the paper "Grasp Pre-shape Selection by Synthetic Training: Eye-in-hand Shared Control on the Hannes Prosthesis"
Zenodo (CERN European Organization for Nuclear Research)·2022Open Access
REAL dataset attached to the paper "Grasp Pre-shape Selection by Synthetic Training: Eye-in-hand Shared Control on the Hannes Prosthesis"
2022Open Access
SYNTHETIC dataset attached to the paper "Grasp Pre-shape Selection by Synthetic Training: Eye-in-hand Shared Control on the Hannes Prosthesis"
2022Open Access
SYNTHETIC dataset attached to the paper "Grasp Pre-shape Selection by Synthetic Training: Eye-in-hand Shared Control on the Hannes Prosthesis"
Zenodo (CERN European Organization for Nuclear Research)·2022Open Access
Grasp Pre-shape Selection by Synthetic Training: Eye-in-hand Shared Control on the Hannes Prosthesis
2022 IEEE/RSJ International Conference on Intelligent Robots and Systems (IROS)·2022Open Access
From Handheld to Unconstrained Object Detection: a Weakly-supervised On-line Learning Approach
2022 31st IEEE International Conference on Robot and Human Interactive Communication (RO-MAN)·2022
Learn Fast, Segment Well: Fast Object Segmentation Learning on the iCub Robot
IEEE Transactions on Robotics·2022· 3 citedOpen Access
Fast Object Segmentation Learning with Kernel-based Methods for Robotics
2021· 3 citedOpen Access
Fast Object Segmentation Learning with Kernel-based Methods for Robotics
CINECA IRIS Institutial Research Information System (University of Genoa)·2021· 8 cited
Data-efficient Weakly-supervised Learning for On-line Object Detection under Domain Shift in Robotics.
arXiv (Cornell University)·2020· 3 citedOpen Access
From Handheld to Unconstrained Object Detection: a Weakly-supervised On-line Learning Approach
arXiv (Cornell University)·2020Open Access
Fast Region Proposal Learning for Object Detection for Robotics
arXiv (Cornell University)·2020· 5 citedOpen Access
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Frequent Co-authors

Lorenzo Natale(37), Lorenzo Rosasco(24), Elisa Maiettini(18), Carlo Ciliberto(15), Federico Ceola(7), Raffaello Camoriano(6), Federico Vasile(6), Nicolò Boccardo(6), Francesca Odone(4), Vadim Tikhanoff(4), Tanis Mar(3), Daniele D’Agostino(3), Astrid Florio(3), Andrea Clematis(2), Carlo Maj(2), Ettore Mosca(2), Luciano Milanesi(2), Ivan Merelli(2), Giorgio Metta(2), Stefano Berti(2)